Data Integration

Data Integration is the problem of combining data residing at different sources and providing the user with a unified view of these data. This important problem emerges in a variety of situations both commercial (when two similar companies need to merge their databases) and scientific. Data integration appears with increasing frequency as the volume and the need to share existing data increases.

In this white paper we will discuss data breakage and access in more detail, and then briefly consider how IBM Optim works, particularly with respect to System z, though Optim's capabilities are also generally applicable to distributed systems.

This paper discusses how consolidating your Microsoft® SQL Server®, Exchange, and SharePoint® Server data along with your Windows® files using NetApp® storage for Windows environments reduces the cost of physical storage as well as ongoing management costs in Windows environments.

The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.

If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself:
- Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?

This IDC White Paper presents a detailed analysis of the value proposition associated
with moving across different virtualization adoption maturity levels. The following
figures and tables compare business value accruing from the move from an
unvirtualized environment to a virtualized environment or from a basic virtualization
scenario to an advanced virtualization scenario.

Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily
focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections,
they had the need to query and analyze call detail record (CDR) databases that grow by millions of
new CDRs every day.

In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in
hardware, storage and operational costs.

For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.

How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.

This webcast will describe the new features of TSM 6.1 and will recommend strategies for assessing your current environment, upgrading to 6.1 and how to maximize the monitoring benefits. We will include lessons learned and advice for avoiding pitfalls.

The modern data center has to keep pace with business growth, without outgrowing its physical space. It must meet customer demands, while containing operating costs. The solution lies in a scalable, modular data center-turnkey, high-density, energy-efficient and able to be deployed quickly. Discover how a number of industries have put this concept to work to provide better service and cut costs.

Loraine Lawson spoke with David Loshin, president of the Washington, D.C.-based BI consultancy, Knowledge Integrity, and the author of Master Data Management, a book on MDM published by the MK/OMG Press, about how IT leaders separate out the marketing hype from what's really possible and pertinent about master data and managing it.

In today's highly-competitive markets, more and more procurement and sourcing professionals are looking to streamline processes and drive superior performance. In the quest for higher savings, more spend under management and increased compliance, sourcing executives must turn to their own repository of spend data to effectively identify opportunities for savings and gain a deeper understanding of their corporate spend.

IDC studied 14 mobile and fixed-line service providers that implemented Tivoli Netcool and found that IBM Tivoli Netcool can help in big ways. It reduces costs by improving operational efficiencies and still allows you to deliver a high-quality custom management.